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The Manufacturing Analytics Market is segmented by Deployment (Cloud-based, On-premise), Application (Inventory Management, Supply Chain Optimization, Predictive Maintenance), End-user Industry (Consumer Electronics, Automotive, Food & Beverage), and Geography.
Fastest Growing Market:
The manufacturing analytics market is projected to register a CAGR of 24% during the forecast period (2020 - 2025). The application of analytics in various segments of the manufacturing process is increasing the demand for the manufacturing analytics market thereby minimize operational cost and streamlining the overall supply-chain logistics.
Manufacturing analytics is used for gathering data from local or geographically distributed sources in the form of different data streams, that can be organized and structured to enable meaningful analysis. It helps in utilizing the existing production data by integrating and visualizing the data to further analyze it by using suitable data mining methods. Standalone manufacturing analytics solutions such as root-cause analysis, process debottleneck analysis, defect reduction initiatives among others, are considered under the scope of the market.
|Supply Chain Optimization|
|By End-user Industry|
|Oil & Gas|
|Food & Beverage|
|Other End-user Industries|
|Middle East & Africa|
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The manufacturing analytics market is moderately competitive and consists of several players. In terms of market share, few of the major players currently dominate the market. Moreover, due to innovation across the cloud segment, most of the companies are increasing their market presence, thereby tapping customers across the subsequent markets.
1.1 Study Deliverables
1.2 Study Assumptions
1.3 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1 Market Overview
4.2 Introduction to Market Drivers and Restraints
4.3 Market Drivers
4.3.1 Adoption of BI and Advanced Data Management Strategies in Manufacturing Applications
4.3.2 Increasing Application of Industry 4.0 Across Various Segments of Manufacturing Industries
4.4 Market Restraints
4.4.1 High Initial Investment in the Transation of IIoT Across Industrial Region
4.5 Industry Attractiveness - Porter's Five Force Analysis
4.5.1 Threat of New Entrants
4.5.2 Bargaining Power of Buyers/Consumers
4.5.3 Bargaining Power of Suppliers
4.5.4 Threat of Substitute Products
4.5.5 Intensity of Competitive Rivalry
4.6 Technology Snapshot
4.6.1 Machine Learning Algorithm (Contextual Analysis)
4.6.2 AI-Driven Recommendation (Smart Analytics)
4.6.3 Operational Dashboards (Data Visualization)
4.6.4 IoT & Streaming Analytics (Advanced Analytics)
4.6.5 Built-in Predictive Maintenance (Predictive Analytics)
4.6.6 Big Data Analytics (Deep Insights)
5. MARKET SEGMENTATION
5.1 By Deployment
5.2 By Appllication
5.2.1 Inventory Management
5.2.2 Supply Chain Optimization
5.2.3 Predictive Maintenance
5.2.4 Other Applications
5.3 By End-user Industry
5.3.2 Oil & Gas
5.3.5 Food & Beverage
5.3.6 Other End-user Industries
5.4.1 North America
5.4.4 Latin America
5.4.5 Middle East & Africa
6. COMPETITIVE LANDSCAPE
6.1 Company Profiles
6.1.1 Alteryx Inc.
6.1.2 TIBCO Software Inc.
6.1.3 SAS Institute Inc.
6.1.4 SAP SE
6.1.5 Salesforce.com Inc. (Tableau Software Inc.)
6.1.6 Oracle Corp.
6.1.7 Sisense Inc.
6.1.8 IBM Corp.
6.1.9 General Electric Company
6.1.10 Northwest Analytics Inc.
6.1.11 DXC Technology Company
6.1.12 QlikTech Inc.
6.1.13 Wipro Limited
7. INVESTMENT ANALYSIS
8. MARKET OPPORTUNITIES AND FUTURE TRENDS
* List Not Exhaustive